Is Surveillance for Multidrug‐Resistant Enterobacteriaceae an Effective Infection Control Strategy in the Absence of an Outbreak?
Bibliographic record
Abstract
Multidrug-resistant enterobacteriaceae (MDRE) are an important cause of nosocomial infections. The effectiveness of screening for MDRE in the nonoutbreak setting in an attempt to prevent transmission is unknown. Patients admitted for new organ transplantation were screened for MDRE colonization. Prospective clinical data were collected, and pulsed-field gel electrophoresis and plasmid and integron analysis of isolates were performed. Colonized patients were not isolated except when required by standard precautions. Of the 287 patients, 69 (24%) were colonized, and 6 (9%) of the 69 developed clinical infections. Most colonizing isolates (66/69) were unique. No clinical infections resulted from patient-to-patient transmission. Analysis of clinical isolates from nonstudy patients demonstrated no evidence of transmission leading to clinical disease. The annual cost of a surveillance program was calculated at Canadian $1,130,184.44. Thus, the routine and costly use of MDRE surveillance and isolation precautions are not warranted in the absence of a clonal outbreak in this population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".